Interdisciplinary research unlocking innovative solutions in healthcare

نویسندگان

چکیده

Advances in Internet of Things (IoT) devices and Machine Learning (ML) applications can provide valuable insights predictions on personal health by optimizing data generation processing. Nevertheless, the flow about status a patient brings variety technical, legal economic challenges that need to be addressed through an interdisciplinary approach. In this context, based action research methodology, paper introduces exemplary health-related activity recognition platform IoT, developed as part European-funded project Horizon 2020 collaboration with academia industry. The proposes innovative solutions how healthcare processed analysed, protecting users’ privacy. main strength is approach used within triple-helix model, involving institutions, companies researchers from different academic fields. perspective, shows potential integration IoT ML models have offer still addressed.

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ژورنال

عنوان ژورنال: Technovation

سال: 2023

ISSN: ['1879-2383', '0166-4972']

DOI: https://doi.org/10.1016/j.technovation.2022.102511